Data Quality Manager
Data Quality Manager
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Job Description
Roles & Responsibilities :
Data Quality Modelling & Design Thinking
Lead mentor and inspire a team of data analysts and engineers fostering a collaborative innovative and high-performance culture.
Oversee the design implementation and continuous improvement of data quality models using SAP MDG Azure and Power Platform technologies. Guide the team to develop appropriate conceptual data models foundational to physical data model creation.
Engage closely with technology and business stakeholders to gather requirements identify improvement areas and clearly articulate the business value of data quality use cases including cleansing validation and enrichment.
Demonstrate deep understanding of the Data Quality value chainfrom Critical Data Elements (CDEs) to Data Quality KPIsand how it integrates with overarching Data Governance frameworks. Lead and manage within this context effectively.
Facilitate workshops and training sessions to promote data quality awareness best practices and a culture of continuous improvement across the organization.
Conduct performance evaluations provide coaching and identify opportunities for the professional development of team members.
Proactively identify and escalate data quality risks or hidden issues to the Data Quality Manager for resolution.
Dashboarding & Workflow Management
Conceptualize design and deploy robust data quality dashboards using Power BI to monitor and visualize data health effectively.
Develop escalation paths and workflows with alerts that notify process and data owners of unresolved data quality issues ensuring timely remediation.
Collaborate with IT and analytics teams to incorporate cutting-edge technologies such as AI Machine Learning and cognitive science to enhance data quality monitoring and automation.
Data Quality Improvement Plans
Partner with business functions and projects to develop and embed sustainable data quality improvement plans fostering business ownership and accountability.
Define and track measurable targets for data quality maturity actively monitoring progress and intervening when improvements fall short of expectations.
Support data clean-up initiatives that improve the accuracy and reliability of existing data landscapes.
Project Delivery & Oversight
Lead and coordinate Data Quality Analysts in executing data profiling conversion criteria establishment and resolution of complex technical and business data quality issues.
Own the detailed project delivery plan for multiple concurrent data quality programs ensuring clarity on roles responsibilities and timelines using effective RACI frameworks.
Drive cross-functional alignment and successful delivery of data quality objectives within large-scale enterprise programs.
Qualifications :
Educational qualification:
B.E
Experience :
11 to 15 years of comprehensive experience in Data Management preferably within the Oil & Gas or Financial Services/Banking industries.
Proven expertise in working with complex data models and structures with strong capability to deeply analyze design and optimize these models for enhanced data quality and usability.
Extensive experience in Data Quality Management including governance practices Data Quality Issue (DQI) managementcovering root cause analysis remediation and solution identification. Familiarity with facilitating governance forums including preparation of papers ensuring quorum and publishing meeting minutes.
In-depth knowledge of Critical Data Element (CDE) identification and Data Lineage including identifying authoritative data sources. Strong understanding of relevant KPIs and data quality measurement frameworks.
Experience of having worked with senior stakeholders across multiple data domains business units Chief Data Office (CDO) and technology teams. Comfortable operating within global multi-time zone environments.
Ability to work effectively in dynamic fast-changing environments with strong prioritization skills and the ability to work independently with minimal supervision.
Mandatory/requires Skills :
Preferred Skills :
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
